Design and implementation of practical asset tracking system in container terminals

Choi, Hoon; Baek, Yunju; Liu, Ben

doi:10.1007/s12541-012-0258-1

Cited by 13 publications

(6 citation statements)

References 19 publications

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“…However, it is general comparison and should serve only as a signpost. RTLS applications in warehousing, manufacturing and logistics include, but are not limited to controlling and reducing inventory through smoothing information handling [6], cooperating within supply chain [7], fighting maritime piracy [8], assets tracking in container terminals [9], improving mobile (transportation) assets utilization in manufacturing [10], assets tracking on a shop floor [11]. Very wide spread of possible RTLS technologies and possible RTLS applications lead to the question: how to choose the best system for the purpose of a specific case.…”

Section: Applications Of Rtlsmentioning

confidence: 99%

An Approach to RTLS Selection

Gładysz¹,

Santarek²

2018

dtetr

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Real Time Locating System has become an important part of supporting technologies applied in a wide range of logistics related to many sectors and branches, as warehousing, manufacturing or healthcare offering real time visibility of assets. It increases assets utilization. RTLS is a very wide term covering many different specific technologies. The use of a specific technology effects in achieving different performance metrics. Therefore, the selection of a specific technology (or mix) is multi-criteria decision making problem. A set of criteria for RTLS selection was discussed and confronted with a set of criteria for assessment of identification systems and an application of TOPSIS for the selection of RTLS was presented.

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Section: Applications Of Rtlsmentioning

confidence: 99%

An Approach to RTLS Selection

Gładysz¹,

Santarek²

2018

dtetr

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“…From the ESP32 datasheet [32], we find that the current consumption in this case is 150 µA. Let us calculate the period for the CTD in deep-sleep mode in 1 day: Deep sleep time in 1 day(s) : 24 h × 60 min × 60 s − 60 s × 5 min × 2 = 85800 s, (5) thus, the charge consumed in one day in deep-sleep mode is: Charge consumed in 1 day in deep sleep mode(mAs) : 0.015 mA × 85800 s = 1287 mAs.…”

Section: Discussionmentioning

confidence: 99%

“…Another study in 2012 was performed to retrieve the container location using an active RFID-based real-time locating system (RTLS) [5]. To evaluate the proposed method, two kinds of devices were implemented: an active RFID tag based on a low-power microprocessor and a 2.4 GHz RF module from NanoLOC placed on the containers, and some readers consisting of ARM-based PXA255 core microcomputers running embedded Linux.…”

Section: Related Work Enabling Technologies and Standardsmentioning

confidence: 99%

Development of a Multi-Radio Device for Dry Container Monitoring and Tracking

Falcitelli,

Misal,

Noto

et al. 2024

IoT

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Maritime shipping companies have identified continuous tracking of intermodal containers as a key tool for increasing shipment reliability and generating important economies of scale. Equipping all dry containers with an Internet-connected tracking device is a need in the global shipping market that is still waiting to be met. This paper presents the methods and tools to build and test a prototype of a Container Tracking Device (CTD) that integrates NB-IoT, BLE Mesh telecommunication and low-power consumption technologies for the massive deployment of the IoT. The work was carried out as part of a project to build the so-called “5G Global Tracking System”, enabling several different logistic applications relying on massive IoT, M2M standard platforms, as well as satellite networks to collect data from dry containers when the vessel is in open sea. Starting from a preliminary phase, in which state-of-the-art technologies, research approaches, industrial initiatives and developing standards were investigated, a prototype version of the CTD has been designed, verified and developed as the first fundamental step for subsequent industrial engineering. The results of specific tests are shown: after verifying that the firmware is capable of handling the various functions of the device, a special focus is devoted to the power consumption measurements of the CTD to size the battery pack.

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“…The amalgamation of technologies leads to very interesting applications, especially in industries, such as indoor asset tracking [95], real-time monitoring of physical systems [96], manufacturing [97], and outdoor asset tracking [98].…”

Section: Big Data and Ai-mlmentioning

confidence: 99%

Digital Twin Perspective of Fourth Industrial and Healthcare Revolution

2022

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Digital Twin (DT) is bringing revolution to our lives by a digital representation of the physical system. DT is the creation of the joint usage of various technologies like Cyber-Physical System (CPS), Internet of Things (IoT), Big Data, Edge Computing (EC), Artificial Intelligence (AI), and Machine Learning (ML), etc. DTs are established to optimize a wide range of applications of industry, healthcare, smart cities, smart homes, etc. It is still in its early development stages. This paper fills the gaps by combining the extensive information on technologies utilized in the creation of DT in industry and healthcare. The paper focuses on studying the characteristics of DT, communication technologies and tools utilized in the creation of DT models, reference models, standards, and the researcher's recent work in smart manufacturing and healthcare. Challenges and open issues that need attention are also discussed.

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Design and implementation of practical asset tracking system in container terminals

Cited by 13 publications

References 19 publications

An Approach to RTLS Selection

An Approach to RTLS Selection

Development of a Multi-Radio Device for Dry Container Monitoring and Tracking

Digital Twin Perspective of Fourth Industrial and Healthcare Revolution

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